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System design and implementation of social interactive robot Nancy

System design and implementation of social interactive robot...

引用

4th International Conference on Interaction sciences: IT, Human and Digital Content, ICIS 2011

作者： Ge, Shuzhi Sam Liew, Chun Fui Li, Yanan Department of Electrical and Computer Engineering Interactive Digital Media Institute National University of Singapore Singapore 117576 Singapore Institute of Intelligent Systems University of Electronic Science and Technology of China Chengdu 610054 China Social Robotics Lab NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore

ISBN: (纸本)9788988678442

This paper presents a social interactive robot Nancy that has been developed in Social robotics Laboratory, National University of Singapore. Fundamentally different from factory robots, Nancy's design focuses on social interaction and social intelligent system. The design objectives and consideration are examined in the beginning, followed by the description of hardware and software architectures. Contrast to current existing social robots, Nancy has a graphical user interface (GUI), which acts as an additional channel for human-robot interaction. This GUI helps users to have a better understanding of Nancy's internal states and hence make users feel more comfortable during the interaction with Nancy. Visitors' interaction experience with Nancy is discussed together with Nancy's social skills. © 2011 AICIT.

关键词： Graphical user interfaces

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Mechanical design of social robot Nancy

Mechanical design of social robot Nancy

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IEEE/SICE International Symposium on System Integration

作者： S. S. Ge M. R. Safizadeh Y. Li Social Robotics Laboratory Interactive Digital Media Institute and the Department of Electrical and Computer Engineering National University of Singapore Singapore Robotics Institute and School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China Social Robotics Laboratory Interactive Digital Media Institute National University of Singapore Singapore Social Robotics Laboratory Interactive Digital Media Institute and the NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore

This paper presents the mechanical design of a social robot, Nancy, developed by Social robotics Laboratory, Interactive and Digital Media Institute, National University of Singapore. The objective of our project is to introduce the social robot which is capable to interact with people, especially the elderly, based on fundamental, functional and social tasks. We developed Nancy with multi-module structure and 32 degrees of freedom (DOFs), including 24 and 8 DOFs in upper-body and lower-body, respectively. 8 DOFs are considered in each arm to make Nancy able to imitate human limbs' motion. Nancy's head involves eye and eyelid motions with 3 DOFs which is on top of a 2-DOFs neck. The wheeled-base is designed in such a way to facilitate the multi-directional movements for Nancy. One of our main objectives in Nancy's mechanical design is to obtain powerful and smooth motion, light-weight joints and simple kinematics. They are achieved by Bowden cable-pulley mechanism driven by actuators located in lower-body. Accordingly, all joints are designed to have intersected axes. Most joints are driven by brushless D.C. motors embedded with electrical brake system to stabilize the robot, especially in case of power loss.

关键词： Robots Joints Shoulder Pulleys Neck Wrist Mechanical cables

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Design and development of Nancy, a social robot

Design and development of Nancy, a social robot

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International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： S.S. Ge J.J. Cabibihan Z. Zhang Y. Li C. Meng H. He M.R. Safizadeh Y.B. Li J. Yang Robotics Institute and School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering National University of Singapore Singapore National University of Singapore Singapore SG Social Robotics Laboratory Interactive Digital Media Institute National University of Singapore Singapore 119077 Social Robotics Laboratory Interactive Digital Media Institute National University of Singapore Singapore

In this paper, we present the design of a social robot, Nancy, which is developed as a platform for engaging social interaction. Targeting for a social, safe, interactive and user-friendly robot mate, the design philosophy of Nancy is presented with mechanical, electrical, artificial skin and software specifications. In particular, there are 32 degrees of freedom (DOFs) through the whole body of Nancy, and the social intelligence is implemented based on vision, audio and control subsystems.

关键词： Robots Joints Humans DC motors Cameras Visualization Skin

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Robust Tracking by Reduced-order Disturbance Observer: Linear Case

Robust Tracking by Reduced-order Disturbance Observer: Linea...

引用

IEEE Conference on Decision and Control

作者： Juhoon Back Hyungbo Shim Nam H. Jo Jung-Su Kim School of Robotics Kwangwoon University Seoul Korea School of Electrical Engineering and Computer Science Seoul National University Seoul Korea School of Electrical Engineering Soongsil University Seoul Korea Dept. of Control and Instrumentation Engineering Seoul National University of Science and Technology Seoul Korea

ISBN: (纸本)9781612848006

The disturbance observer (DOB) is one of the widely-used control methods for robust tracking under plant uncertainties and external disturbances. Typically it is implemented by two (so-called) Q-filters as well as an inverse model for the nominal plant. Observing that these two Q-filters have identical dynamics, we propose a reduced-order implementation of the conventional DOB configuration. Moreover, we analyze this newly proposed configuration and claim that the robust stability condition, which has been found for the conventional configuration, still holds for the reduced-order case, and the robust transient performance can also be maintained as before with a saturation function introduced in the feedback loop.

关键词： disturbance observer Feedback loop Inverse method Control Methods Steady state tracking Transient performance external disturbance

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Trajectory planning and control for multiple-vehicles systems

Trajectory planning and control for multiple-vehicles system...

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International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Anugrah K. Pamosoaji Keum-Shik Hong Shuzhi Sam Ge School of Mechanical Engineering Pusan National University Busan South Korea Department of Cogno-Mechatronics Engineering Pusan National University Busan South Korea Robotics Institute School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China Department of Electrical and Computer Engineering National University of Singapore Singapore

Algorithms for trajectory planning and control for a multiple-vehicles system are investigated. An issue of designing collision-free trajectories on a group of crossing paths is tackled. The trajectories are modeled as a set of via-points coupled with their associated achieving time. Furthermore, a tracking controller design dealing with actuators constraints and all via points' achieve times is proposed. By applying the controller, each vehicle is guaranteed to get closer to the desired via-points without any obstacle-avoidance motions. Simulation results showing the generated trajectories and tracking performance is presented.

关键词： Vehicles Trajectory Planning Acceleration Educational institutions Simulation Control design

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Estimating the minimum number of robots to finish given multi-objects task

Estimating the minimum number of robots to finish given mult...

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IEEE Conference on Cybernetics and Intelligent Systems

作者： Ji Guo Bo Gao Rongxin Cui Shuzhi Sam Ge College of Marine Engineering Northwestern Polytechnical University Xian China College of Physics and Electrical Engineering Anyang Normal University China Robotics Institute and Institute of Intelligent Systems and Information Technology and School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

In this paper, we propose a method that could solve the problem of estimating the minimum number of robots to finish the given multi-objects task. The criterion of estimating the robots includes the time consumption of motion on the trajectory and the work on the multi-objects. Our proposed method builds the roadmap to compute the cost of motion between objects and then builds the network with the motion and work cost. To satisfy the specified efficiency, the optimization algorithm of network is used to compute the minimum number of robots which can finish the task. An implementation example is presented and possible further research directions are presented as well.

关键词： Robot kinematics Conferences Trajectory Bipartite graph Educational institutions Routing

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Persistent Ocean Monitoring with Underwater Gliders: Towards Accurate Reconstruction of Dynamic Ocean Processes

Persistent Ocean Monitoring with Underwater Gliders: Towards...

引用

2011 IEEE International Conference on robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Ryan N. Smith Mac Schwager Daniela Rus Stephen L. Smith Gaurav S. Sukhatme School of Engineering Systems at the Queensland University of Technology BrisbaneQLD4000 Australia GRASP Lab University of PennsylvaniaPhiladelphiaPA 19104USA Distributed Robotics Lab Computer Science and Artificial Intelligence LaboratoryMassachusetts Insti Robotic Embedded Systems Laboratory Department of Computer ScienceUniversity of Southern California

This paper proposes a path planning algorithm and a velocity control algorithm for underwater gliders to persistently monitor a patch of ocean. The algorithms address a pressing need among ocean scientists to collect high-value data for studying ocean events of scientific and environmental interest, such as the occurrence of harmful algal blooms. The path planner optimizes a cost function that blends two competing factors: it maximizes the information value of the path, while minimizing the deviation from the path due to ocean currents. The speed control algorithm then optimizes the speed along the planned path so that higher resolution samples are collected in areas of higher information value. The resulting paths are closed circuits that can be repeatedly traversed to collect long term ocean data in dynamic environments. The algorithms were tested during sea trials on an underwater glider operating off the coast of southern California over the course of several weeks. The results show significant improvements in data resolution and path reliability compared to a sampling path that is typically used in the region.

关键词： Oceans Heuristic algorithms Vehicles Monitoring Sea measurements Vehicle dynamics Read only memory

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Reports of the AAAI 2010 spring symposia

Reports of the AAAI 2010 spring symposia

引用

作者： Barkowsky, Thomas Bertel, Sven Broz, Frank Chaudhri, Vinay K. Eagle, Nathan Genesereth, Michael Halpin, Harry Hamner, Emily Hoffmann, Gabe Hölscher, Christoph Horvitz, Eric Lauwers, Tom McGuinness, Deborah L. Michalowski, Marek Mower, Emily Shipley, Thomas F. Stubbs, Kristen Vogl, Roland Williams, Mary-Anne Cognitive Systems Group University of Bremen Research Center SFB/TR 8 Spatial Cognition Germany Human Factors Division Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign IL United States Adaptive Systems Research Group Computer Science Department University of Hertfordshire United Kingdom Artificial Intelligence Center at SRI International United States Txteagle Inc. MIT Media Laboratory United States Computer Science Department Stanford University United States University of Edinburgh United Kingdom Robotics Institute Carnegie Mellon University United States Palo Alto Research Center United States Center for Cognitive Science University of Freiburg Germany CREATE lab Carnegie Mellon Robotics Institute United States Rensselaer Polytechnic Institute United States University of Southern California United States Department of Psychology Temple University Spatial Intelligence and Learning Center United States IRobot Corporation United States Stanford Program in Law Science and Technology Stanford University Law School United States Innovation and Enterprise Research Laboratory University of Technology Sydney Australia

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of computer science, presented the 2010 Spring Symposium Series Monday through Wednesday, March 22-24, 2010, at Stanford University. The titles of the seven symposia were Artificial Intelligence for Development;Cognitive Shape Processing;Educational robotics and Beyond: Design and Evaluation;Embedded Reasoning: Intelligence in Embedded Systems;Intelligent Information Privacy Management;It's All in the Timing: Representing and Reasoning about Time in Interactive Behavior;and Linked Data Meets Artificial Intelligence. Copyright © 2010.

关键词： Embedded systems

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Fusion of CSP-derived features and Time-Domain Parameters for mind robotics control

Fusion of CSP-derived features and Time-Domain Parameters fo...

引用

Asian Control Conference

作者： Shuzhi Sam Ge Xinyang Li Yaozhang Pan Social Robotics Laboratory Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore Social Robotics Laboratory Interactive Digital Media Institute and NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Institute for Infocomm Research Agency for Science Technology and Research Singapore

In this paper, fusion of Common Spatial Pattern (CSP) analysis derived features and Time-Domain Parameters (TDP) is investigated for two-class motion imagery classification: left hand movement and right hand movement imagery. This fusion method is aiming at improving the performance of Brain-computer Interface (BCI) systems in translating human thoughts into command to control certain robots, e.g. rehabilitation robots. In the BCI system applied in this paper, a Human-Friendly Interactive Bear Robot is implemented, whose bear-like appearance and interactive actions can alleviate the frustration and anxiety on the part of the user in the experiment. Moreover, off-line experiments are conducted to demonstrate the efficiency of the fusion method using both well-known open-source data and data obtained by the BCI system mentioned before.

关键词： Robots Electroencephalography Accuracy Feature extraction Brain modeling Covariance matrix Algorithm design and analysis

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System design and implementation of social interactive robot Nancy

System design and implementation of social interactive robot...

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International Conference on Information sciences and Interaction sciences (ICIS)

作者： Shuzhi Sam Ge Chun Fui Liew Yanan Li Institute of Intelligent Systems University of Electronic Science and Technology Chengdu China Social Robotics Laboratory Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore Social Robotics Laboratory Interactive Digital Media Institute and NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore

关键词： Robots Graphical user interfaces Servomotors Speech Universal Serial Bus Face Hardware

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